app.py

from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
import datetime
import requests
import pytz
import yaml
import os
from tools.final_answer import FinalAnswerTool

from Gradio_UI import GradioUI

@tool
def my_cutom_tool(arg1: str, arg2: int) -> str:
    """A tool that does nothing yet.
    
    Args:
        arg1: the first argument.
        arg2: the second argument.
        
    Returns:
        A placeholder string.
    """
    return "What magic will you build ?"

@tool
def get_current_time_in_timezone(timezone: str) -> str:
    """Fetches the current local time in a specified timezone.
    
    Args:
        timezone: A string representing a valid timezone (e.g., 'America/New_York').
    
    Returns:
        A string stating the current local time in the specified timezone.
    """
    try:
        tz = pytz.timezone(timezone)
        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
        return f"The current local time in {timezone} is: {local_time}"
    except Exception as e:
        return f"Error fetching time for timezone '{timezone}': {str(e)}"

# --- Helper function to fetch Spotify access token ---

def fetch_spotify_access_token() -> str:
    """
    Retrieves an access token from Spotify using the Client Credentials Flow.
    
    Returns:
        A string containing the access token, or None if the request fails.
    """
    url = "https://accounts.spotify.com/api/token"
    headers = {"Content-Type": "application/x-www-form-urlencoded"}
    data = {
        "grant_type": "client_credentials",
        "client_id": os.getenv("SPOTIFY_CLIENT_ID"),
        "client_secret": os.getenv("SPOTIFY_CLIENT_SECRET")
    }
    response = requests.post(url, headers=headers, data=data)
    if response.status_code == 200:
        return response.json().get("access_token")
    return None

# --- Mood Mapping Dictionary ---
# This dictionary maps mood words to Spotify recommendation parameters.
MOOD_MAPPING = {
    "happy": {"target_valence": 0.9, "target_energy": 0.8, "seed_genres": ["pop"]},
    "sad": {"target_valence": 0.2, "target_energy": 0.3, "seed_genres": ["acoustic"]},
    "energetic": {"target_valence": 0.7, "target_energy": 0.9, "seed_genres": ["work-out"]},
    "chill": {"target_valence": 0.6, "target_energy": 0.4, "seed_genres": ["chill"]}
}

@tool
def get_songs_by_mood(mood: str) -> str:
    """Fetches a playlist of songs based on a given mood using Spotify's Recommendations API.
    
    Args:
        mood: A string representing the desired mood (e.g., "happy", "sad", "energetic", "chill").
    
    Returns:
        A string containing a list of recommended songs, each on a new line in the format:
        'Track Name - Artist Name'.
    
    The function uses an internal mapping to convert the mood word into target parameters
    (valence, energy) and a seed genre, then calls the Spotify Recommendations endpoint.
    """
    # Retrieve Spotify access token
    access_token = fetch_spotify_access_token()
    if not access_token:
        return "Error: Unable to retrieve Spotify access token."
    
    # Get mapping for the specified mood; use default if not found
    mapping = MOOD_MAPPING.get(mood.lower(), {"target_valence": 0.5, "target_energy": 0.5, "seed_genres": ["pop"]})
    
    # Build parameters for the Spotify Recommendations API request
    params = {
        "seed_genres": ",".join(mapping["seed_genres"]),
        "target_valence": mapping["target_valence"],
        "target_energy": mapping["target_energy"],
        "limit": 10
    }
    
    url = "https://api.spotify.com/v1/recommendations"
    headers = {"Authorization": f"Bearer {access_token}"}
    response = requests.get(url, headers=headers, params=params)
    
    if response.status_code == 200:
        tracks = response.json().get("tracks", [])
        if not tracks:
            return "No tracks found for the specified mood."
        playlist = []
        for track in tracks:
            track_name = track.get("name")
            artist_name = track.get("artists", [{}])[0].get("name", "Unknown")
            playlist.append(f"{track_name} - {artist_name}")
        return "\n".join(playlist)
    else:
        return f"Error: {response.json()}"

final_answer = FinalAnswerTool()
model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='https://wxknx1kg971u7k1n.us-east-1.aws.endpoints.huggingface.cloud',
    custom_role_conversions=None,
)

# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[
        final_answer,
        my_cutom_tool,
        get_current_time_in_timezone,
        get_songs_by_mood
    ],
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

GradioUI(agent).launch()